Emma of Torre.ai

Part-Time Remote Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Part-Time Remote Machine Learning Engineer position, offering $80 - $120/hour for approximately 20 hours/week until December 22nd, with potential extension. Requires Python proficiency, machine learning experience, and must be based in the USA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
December 21, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Libraries #Python #Computer Science #Reinforcement Learning #TensorFlow #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AI (Artificial Intelligence)
Role description
I’m helping Nova Kore find a top candidate to join their team flexible for the role of Part-Time Remote Machine Learning Engineer. You'll advance AI by optimizing model performance and training speed for real-world impact. Compensation: USD 80 - 120/hour Location: Remote: USA Mission of Nova Kore: "Connecting people and companies to create meaningful, transformative career and business opportunities." What makes you a strong candidate: • You are proficient in Python, Machine learning, Data preparation. • English - Conversational Responsibilities and more: Machine Learning Engineer We are building a talent engine that helps leading research labs and organizations advance artificial intelligence. This initiative focuses on benchmarking and improving model performance and training speed across real-world machine learning workloads. This role is suitable for early-career machine learning engineers or PhD candidates with a strong interest in innovation and measurable impact. This is a remote, asynchronous, part-time role designed for individuals who value clear structure and outcome-driven work. Schedule and commitment • Remote and asynchronous, with flexible scheduling. • Approximate commitment of 20 hours per week. • Duration through December 22nd, with potential extension into 2026. What you’ll do • Draft detailed natural-language plans and code implementations for machine learning tasks. • Translate novel machine learning problems into agent-executable tasks for reinforcement learning environments. • Identify failure modes in LLM-generated trajectories and apply corrective patches for machine learning tasks. What you’ll bring • 0 to 2 years of experience as a machine learning engineer, or a PhD in computer science with machine learning coursework. • Proficiency in Python and common machine learning libraries such as XGBoost, TensorFlow, and scikit-learn. • Experience with data preparation and model training workflows. • Bonus experience contributing to machine learning benchmarks. • Must be based in the United States. Compensation and terms • Hourly rate between $80 and $120 USD, depending on region and experience. • Weekly payments via Stripe Connect. • Independent contractor engagement. Application process • Resume submission. • Completion of a system design session of less than 30 minutes. • Completion of a machine learning engineer screening of less than 5 minutes.